Carotid intima media thickness, brachial flow mediated dilation and previous history of gestational diabetes mellitus.

AIM: Gestational diabetes mellitus (GDM) is a common pregnancy condition with long-term complications. We examined the association between inflammatory mediators and early atherosclerosis process by measuring the flow mediated dilatation (FMD) of brachial artery and carotid intima media thickness (CIMT) in women with previous GDM (pGDM). MATERIAL AND METHODS: Women with and without pGDM with an average of 4 years following the indexed pregnancy, participated in this study. Serum levels of IL-6, hs-CRP, adiponectin, homocystein and other biomedical parameters were measured. The existence of early atherogenesis process was evaluated by measuring CIMT and FMD. RESULTS: HOMA-IR and insulin were significantly higher in women with pGDM. Women with pGDM had slightly higher CIMT and significantly lower percent of brachial FMD. FMD and CIMT, adjusted for age and blood pressure, showed the same pattern. FMD showed no correlation with biochemical or inflammatory markers. CONCLUSION: Follow-up of this group of women, who are at increased risk of cardiovascular disease, with FMD should be considered.

Low serum leptin serves as a biomarker of malnutrition in elderly patients.

Anthropometric and classical biologic markers of malnutrition, such as serum albumin, are limited because they are influenced by nonnutritional factors. We propose that a biologic parameter that both predicts nutritional status and is unaffected by nonnutritional factors would facilitate the diagnosis of malnutrition in the elderly. This cross-sectional study included 179 randomized elderly patients. Nutritional status was assessed by the Mini-Nutritional Assessment (MNA) instrument; other end points included anthropometric measures and biologic parameters. Subjects were divided into 3 groups based on MNA-defined nutritional status, and end point means were compared using 2-way analyses of variance adjusted by sex. Correlations between the most accurate biologic marker in predicting malnutrition and other biologic and clinical variables were assessed using Pearson correlation test. Multiple linear regressions were then performed to relate the best biomarker of malnutrition to specific parameters. Finally, leptin levels that predict malnutrition were determined using receiver operating characteristic curve cutoff values. The well-nourished group had significantly higher leptin (P = .001), weight, body mass index, mid-arm circumference, and calf circumference (all, P < .001) compared with the malnourished group and the at risk of malnutrition group. Serum leptin was the optimal biomarker of MNA-defined malnutrition and had significant positive correlations with weight (P = .003) and with all anthropometric values (all P < .001), but no significant correlation with C-reactive protein. Sex, weight, and triglyceride were the best predictors of serum leptin (all P < .001). The optimal cutoff value of serum leptin to detect malnutrition was 4.3 ng/mL in men and 25.7 ng/mL in women. Serum leptin may be a good predictor of nutritional status in elderly patients.